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TSKS04 Digital Communication Continuation Course

Course Program Spring 2014

Lectures

Please observe that the following schedule should be interpreted as an indication about approximately when different topics are treated. As the course proceeds, this plan may be adjusted.

Lecture n:o Chapter Main topic Part
1 --- Introduction Course plan.
2.1 Introduction Prerequisites.
2.5.2, extra Power Spectral Density of Random Signals PSD of linearly modulated signals
2 2.5.2, extra Power Spectral Density of Random Signals PSD of linearly modulated signals (cont.)
3 2.2,2.3 Baseband Representation Complex baseband representation of stochastic processes
4 2.2,2.3 Baseband Representation Complex baseband representation of stochastic processes (cont.)
Lab Memo Laborations Instructions and hints
Wikipedia article Laborations Line codes
3.2, 4.2 Estimation Introdiction to estimation
5 3.2 Estimation Binary hypothesis testing
4.1-4.3 Estimation Phase and delay estimation
6 4.4-4.5 Estimation Non-coherent estimation
5.1-5.2, 5.4 Estimation ML Sequence estimation
7 5.4 Estimation ML Sequence estimation, the Viterbi Algorithm
8 5.5-5.6 Equalizing Suboptimal Equalizers, ZF and MMSE
9 7 Error Control Codes Convolutional codes, encoding, structure
10 7 Error Control Codes Catastrophic and non-catastrophic encoders, Decoding, Viterbi again
11 Error Control Codes Path-weight enumerators and error probability
Summary

My recommendation is that you read the corresponding part of the course material through once before each lecture. If not, the lecture may not be as useful to you as you might wish.

Sidansvarig: Mikael Olofsson
Senast uppdaterad: 2019 07 30   10:17